Instructions to use Lank1906/stable-diffusion-xl-base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lank1906/stable-diffusion-xl-base-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lank1906/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae_decoder/model.onnx from Lank1906/stable-diffusion-xl-base-1.0: direct link, hf CLI and curl.
- Browser
- Download file 198 MB
-
https://huggingface.co/Lank1906/stable-diffusion-xl-base-1.0/resolve/main/vae_decoder/model.onnx
- Command line
-
hf download hf://Lank1906/stable-diffusion-xl-base-1.0/vae_decoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/Lank1906/stable-diffusion-xl-base-1.0/resolve/main/vae_decoder/model.onnx
198 MB
- Xet hash:
- ee94fd6374ca8b043703826e04a1ba33653e614391edd865f1249a51d6ab8fb1
- Size of remote file:
- 198 MB
- SHA256:
- 0892c5e28b35791140467f7b9c9fa148c24238a5f0c381b1d4c22dcd2ed365cb
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